Author
Listed:
- Kirti Sood
- Prachi Pathak
- Jinesh Jain
- Sanjay Gupta
Abstract
Purpose - Research in the domain of behavioral finance has proven that investors demonstrate irrational behavior while making investment decisions. In a similar domain, the primary objective of this research is to prioritize the behavioral biases that influence cryptocurrency investors' investment decisions in the Indian context. Design/methodology/approach - A fuzzy analytic hierarchy process (F-AHP) was used to prioritize the behavioral factors impacting cryptocurrency investors' investment decisions. Overconfidence and optimism, anchoring, representativeness, information availability, herding, regret aversion, and loss aversion are among the primary biases evaluated in the present study. Findings - The findings suggested that the two most important influential criteria were herding and regret aversion, with loss aversion and information availability being the least influential criteria. Opinions of family, friends, and colleagues about investment in cryptocurrency, the sale of cryptocurrencies that have increased in value, the avoidance of selling currencies that have decreased in value, the agony of holding losing cryptocurrencies for too long rather than selling winning cryptocurrencies too soon, and the purchase of cryptocurrencies that have fallen significantly from their all-time high are the most important sub-criteria. Research limitations/implications - This survey only covered active cryptocurrency participants. Additionally, the study was limited to individual crypto investors in one country, India, with a sample size of 467 participants. Although the sample size is appropriate, a larger sample size might reflect the more realistic scenario of the Indian crypto market. Practical implications - The study is relevant to individual and institutional cryptocurrency investors, crypto portfolio managers, policymakers, researchers, market regulators, and society at large. Originality/value - To the best of the authors' knowledge, no prior research has attempted to explain how the overall importance of various criteria and sub-criteria related to behavioral factors that influence the decision-making process of crypto retail investors can be assessed and how the priority of focus can be established, particularly in the Indian context.
Suggested Citation
Kirti Sood & Prachi Pathak & Jinesh Jain & Sanjay Gupta, 2023.
"Gauging investors' investment decisions in the crypto market through the PRISM of behavioral biases: a fuzzy AHP approach,"
International Journal of Emerging Markets, Emerald Group Publishing Limited, vol. 20(4), pages 1465-1486, June.
Handle:
RePEc:eme:ijoemp:ijoem-02-2022-0263
DOI: 10.1108/IJOEM-02-2022-0263
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